TGx-DDI, a Transcriptomic Biomarker for Genotoxicity Hazard Assessment of Pharmaceuticals and Environmental Chemicals

Heng-Hong Li1, Carole L Yauk2, Renxiang Chen1,3

  • 1Department of Oncology, Department of Biochemistry and Molecular & Cellular Biology, Georgetown University Medical Center, Washington, DC, United States.

Frontiers in Big Data
|March 11, 2021
PubMed

Insights

A new biomarker, TGx-DDI, uses machine learning to identify true DNA-damaging agents, reducing false positives in genotoxicity testing. This approach aims to improve chemical and drug safety assessments, potentially decreasing the need for animal testing.

Area of Science:

  • Toxicology
  • Biomarker Discovery
  • Computational Biology

Background:

  • Genotoxicity testing is crucial for regulatory safety assessments of drugs and chemicals.
  • Current *in vitro* chromosomal damage (CD) assays often yield irrelevant positive findings, necessitating complex and costly follow-up studies.
  • There is an urgent need for improved genotoxicity testing strategies to meet regulatory requirements and reduce animal testing.

Purpose of the Study:

  • To introduce and validate the TGx-DDI biomarker for differentiating true DNA-damaging agents from compounds with irrelevant *in vitro* findings.
  • To assess the performance, reproducibility, and cross-platform capabilities of the TGx-DDI biomarker.
  • To review the development status and regulatory progress of the TGx-DDI assay as a drug development tool.

Main Methods:

  • Machine learning was employed to identify a set of transcripts (TGx-DDI biomarker) responsive to DNA damage in human cells.
  • The TGx-DDI biomarker was validated for its ability to identify true DNA-damaging agents.
  • Intra- and inter-laboratory reproducibility and cross-platform performance were assessed.
  • A high-throughput cell-based genotoxicity testing system using NanoString nCounter® technology was developed.

Main Results:

  • The TGx-DDI biomarker was identified and validated to accurately detect DNA-damaging agents.
  • The assay demonstrated good reproducibility across different laboratories and platforms.
  • The TGx-DDI assay, integrated with current testing batteries, can help de-risk compounds with false positive *in vitro* results.
  • Progress has been made in qualifying the TGx-DDI assay at the US Food and Drug Administration (FDA).

Conclusions:

  • The TGx-DDI biomarker offers a promising approach to improve the accuracy and efficiency of genotoxicity testing.
  • Implementation of the TGx-DDI assay is expected to significantly enhance the assessment of genotoxic hazards for drugs and chemicals.
  • This biomarker has the potential to reduce reliance on animal testing and streamline the drug development process.